Job description

We appreciate your interest in employment with The Honest Company! The Honest Company is committed to a policy of equal employment opportunity, and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally-recognized protected basis under federal, state, or local law. Applicants with disabilities who need assistance with the application process may be entitled to a reasonable accommodation in accordance with applicable law. If you need assistance in completing this application or with the application process because of a disability, please contact the Human Resources Department at 1.888.862.8818 or 1.310.857.3020. About Us The Honest Company (NASDAQ: HNST) is a personal care company dedicated to creating cleanly-formulated and sustainably-designed products spanning categories across diapers, wipes, baby personal care, beauty, apparel, household care and wellness. Launched in 2012, the Company is on a mission to challenge ingredients, ideals, and industries through the power of the Honest brand, the Honest team, and the Honest Standard. For more information about the Honest Standard and the Company, please visit www.honest.com . Our Mission We're on a mission to empower people to live happy, healthy lives. We're a wellness brand with values rooted in consciousness, community, transparency, and design. Every day and in every way, we hold ourselves to an Honest standard. We believe that it is our responsibility to do our part to help create a healthy and sustainable future for all. The Role The Honest Company is seeking a Senior Analytics Engineer. Our centralized data function runs on Redshift, Airflow, dbt, Metabase, and Hex, and the curated layer is now the expected foundation for analytics. As a Senior Analytics Engineer, you own a full domain of that layer, such as supply chain or syndicated consumption data, from source contract to certified mart. You are the person stakeholders in that domain go to when a number is disputed. You frame ambiguous requests before anyone writes SQL, decide how the domain should be modeled, and raise the craft of the analysts and engineers working around you. What you'll do Own one or more domains end to end: ERP orders, shipments, inventory, and cost, or Circana syndicated data, including the cross-domain joins behind SIOP and forecast-accuracy reporting. Write design docs for domain-scale changes, such as a new conformed dimension or an incremental rebuild strategy, and get them reviewed before building. Run definition sessions with supply chain planners and finance analysts; document the agreed definition and bring unresolved conflicts to the Data Council with a recommendation. Define dataset tiers and SLAs for your domain, and lead incident response and post-incident review when those datasets break. Own runtime and Redshift cost for your domain's models; find and fix the expensive ones. Agree schema and quality expectations with Data Engineering for your domain's sources, and hold the line when upstream changes would break them. Shape your domain's backlog with the Sr Manager; say no to work with clear reasons and an alternative. Mentor analytics engineers and analysts; use code review to teach the reasoning behind standards, not only the standards. Lead the migration of your domain's reporting off spreadsheets and raw tables onto curated models. Run interview rounds and help calibrate candidates. What we're looking for Required 6+ years in analytics engineering, data engineering, or a heavily technical analyst role, including at least 2 years owning models that other teams depended on in production. Everything in the Analytics Engineer profile, at a level where others copy your patterns: expert SQL on a columnar warehouse, production dbt (tests, macros, snapshots, exposures, CI), and dimensional modeling across multiple sources. A track record of designing, not just implementing: you can show a modeling decision you made, the alternatives you rejected, and why. Experience resolving a metric definition that two teams disagreed on, and making the resolution stick. Experience owning reliability for datasets with real consumers: tests, freshness, alerting, and incident follow-through. Clear technical writing: design docs, PR descriptions, and documentation a business user can read. Evidence of making others better: mentorship, review culture, or standards adoption you drove. Preferred CPG, retail, or consumer goods experience, especially syndicated measurement data (Circana/IRI, NIQ, SPINS) or retailer vendor portals. Working knowledge of the SIOP/S&OP cycle or the finance close calendar, and how data timing affects them. Experience with a semantic layer, metric store, or data observability platform (Monte Carlo, Datafold). Python; exposure to Airflow, Fivetran, or dlt. What success looks like at 12 months Your domain's reporting runs on curated models, and its spreadsheets of record are retired. Your domain's critical datasets meet their SLAs, and incidents end with a fix to the cause. Stakeholders in your domain bring definition questions to you before they build their own version. At least one other engineer or analyst ships work in your domain to standard without your review. Compensation The pay range for this role is $130,000 - $150,000. Actual compensation is based on many factors including but not limited to depth of experience, skill level, ability, knowledge, education, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total rewards package for this position may also include base, annual incentive plan, benefits, retirement plan, equity, and Employee Stock Purchase Plan. Benefits & Perks At Honest, we’re all about investing in our people. We’re dedicated to providing a benefits package that supports your well-being, growth, and balance. Check out our benefits and perks we offer to help you thrive both in and out of the office: Comprehensive Health & Wellness 🏥: We’ve got you covered with top-tier health, dental, and vision plans to keep you and your family feeling great. 401k with Company Match 💰: Your future matters to us. We match your 401k contributions to help you secure a strong financial future. Wellness & Fitness 💪: Stay healthy with a monthly fitness reimbursement and, for those in our Playa Vista office, an onsite gym to keep you active and energized. Work-Life Balance ⚖️: We value your time. We provide a generous and flexible vacation policy to relax, recharge, and spend time on what matters most. Family-Friendly Leave 👶: Growing your family? We offer generous maternity and paternity leave to support you during this exciting journey. Ownership & Equity 💼 : Ownership isn’t just a mindset here—it’s real. Every full time employee is granted equity, giving you a direct stake in our future. When we win, you win. Education Reimbursement 🎓: We’re committed to your growth—whether it’s for professional development or a new passion, we offer education reimbursement to help you learn and level up. Pet Insurance 🐾: We love your furry family members too! Our pet insurance ensures your pets are taken care of, because they’re part of the family. Please note: Benefits offerings may vary based on the position and geographic location. California Privacy Rights Notice for Californian Job Applicants and Prospective Talent Effective Date: January 1, 2020 Under the California Consumer Privacy Act of 2018 (“CCPA”), The Honest Company, Inc. (“Honest” or “us” or “we”) is required to inform California residents who are our job applicants or prospective talent (together “job applicants” or “you”) about the categories of personal information we may collect about you and the purposes for which we use this information. Click here if you are a California resident to read disclosures required by the CCPA. Note this notice applies only to personal information that is subject to the CCPA. Categories of Personal Information We Collect. We may collect the following categories of personal information about our job applicants, who are California residents: Name Signature Social Security Number Email and mailing address Telephone number Education Employment history How We Use Job Applicants' Personal Data. We use and disclose the personal information we collect for our business purposes. These business purposes include, without limitation: Processing evaluating your application to determine your qualifications for the role to which you’ve applied, and communicating with you about your application, including to check references or your background, and communicate with you about other jobs that may interest you. Other business purposes as identified in the CCPA, which include: Auditing related to our interactions with you; Legal compliance Detecting and protecting against security incidents, fraud, and illegal activity; Debugging; Performing services for us, such as analytics; Internal research for technological improvement; and Internal operations. Other Interactions with The Honest Company. More information about our privacy practices can be found in our Privacy Policy, which is incorporated herein by reference. Contact Us. For questions or concerns about our Privacy Policy , please contact us at privacy@honest.com . #LIHybrid

Requirements

Must-haves

Own one or more domains end to end: ERP orders, shipments, inventory, and cost, or Circana syndicated data, including the cross-domain joins behind SIOP and forecast-accuracy reporting.
Write design docs for domain-scale changes, such as a new conformed dimension or an incremental rebuild strategy, and get them reviewed before building.
Run definition sessions with supply chain planners and finance analysts; document the agreed definition and bring unresolved conflicts to the Data Council with a recommendation.
Define dataset tiers and SLAs for your domain, and lead incident response and post-incident review when those datasets break.
Own runtime and Redshift cost for your domain's models; find and fix the expensive ones.
Agree schema and quality expectations with Data Engineering for your domain's sources, and hold the line when upstream changes would break them.
Shape your domain's backlog with the Sr Manager; say no to work with clear reasons and an alternative.
Mentor analytics engineers and analysts; use code review to teach the reasoning behind standards, not only the standards.
Lead the migration of your domain's reporting off spreadsheets and raw tables onto curated models.
Run interview rounds and help calibrate candidates.
6+ years in analytics engineering, data engineering, or a heavily technical analyst role, including at least 2 years owning models that other teams depended on in production.
A track record of designing, not just implementing: you can show a modeling decision you made, the alternatives you rejected, and why.
Experience resolving a metric definition that two teams disagreed on, and making the resolution stick.
Experience owning reliability for datasets with real consumers: tests, freshness, alerting, and incident follow-through.
Clear technical writing: design docs, PR descriptions, and documentation a business user can read.

Nice-to-haves

CPG, retail, or consumer goods experience, especially syndicated measurement data (Circana/IRI, NIQ, SPINS) or retailer vendor portals.
Working knowledge of the SIOP/S&OP cycle or the finance close calendar, and how data timing affects them.
Experience with a semantic layer, metric store, or data observability platform (Monte Carlo, Datafold).
Python; exposure to Airflow, Fivetran, or dlt.
What success looks like at 12 months
Your domain's reporting runs on curated models, and its spreadsheets of record are retired.
Your domain's critical datasets meet their SLAs, and incidents end with a fix to the cause.
Stakeholders in your domain bring definition questions to you before they build their own version.
At least one other engineer or analyst ships work in your domain to standard without your review.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

gosqlpython

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Wellness

Professional Development